Variance Control for Distributional Reinforcement Learning

30 July 2023

Papers citing "Variance Control for Distributional Reinforcement Learning"

4 / 4 papers shown

Title
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 46 2 0 11 Oct 2024
Absolute Policy Optimization Weiye Zhao Feihan Li Yifan Sun Rui Chen Tianhao Wei Changliu Liu 57 4 0 20 Oct 2023
The Benefits of Being Categorical Distributional: Uncertainty-aware Regularized Exploration in Reinforcement Learning Ke Sun Yingnan Zhao Enze Shi Yafei Wang Xiaodong Yan Bei Jiang Linglong Kong OOD OffRL UQCV 28 2 0 07 Oct 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 136 188 0 08 May 2020